Gaia Lens

Gaia Lens Data and Methodology (opens in a new tab)

We've partnered with GaiaLens to bring data-driven, transparent, and real-time sustainability analytics and impact appraisals. GaiaLens reviews millions of articles, using proprietary NLP models to generate insightful signals. This process involves monitoring a vast array of sources, ranging from hundreds of thousands of news outlets, social media channels, to NGOs.

Each article is meticulously processed to extract maximum value. This includes calculating a 'Company Relevance Score'—measuring the article's relevance to a particular company. In addition, GaiaLens determines similarity and sentiment scores for over 50 different ESG topics, encompassing SASB themes and UN SDGs.

GaiaLens helps track vital entities mentioned in articles, such as CEOs and insider/outsider shareholders. With news articles dating back over a decade, clear patterns of company behavior emerge.

We leverage GaiaLens in Impact Stack to generate a robust understanding of prevailing sustainability frameworks, trends, or economic externalities. This allows us to optimize AI output explainability and empower users to drill into and fully understand the details behind the a